✍️ Handwriting Synthesis

Generate realistic handwritten text using deep learning

Features • Installation • Usage • Examples

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🎯 What is This?

A neural network-based handwriting synthesis system that generates realistic, customizable handwritten text. Choose from 10 different handwriting styles, adjust randomness, colors, and stroke properties to create unique handwritten content.

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✨ Features

• 🎨 10 Unique Styles - Multiple handwriting personalities to choose from
• 🎬 Animated Drawing - Watch text being written in real-time
• 🎲 Customizable Randomness - Control variation for natural-looking results
• 🌈 Color & Stroke Control - Personalize appearance with colors and widths
• 📝 Multi-line Support - Generate entire paragraphs at once
• 💾 SVG Output - Scalable vector graphics for perfect quality
• 🖥️ Interactive Web UI - Beautiful Streamlit interface

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🚀 Installation

Prerequisites

• Python 3.7.9 (Required for TensorFlow compatibility)
• pip package manager

Setup

1. Clone the repository

   git clone https://github.com/Jash4305/Handwriting-Synthesis.git
   cd Handwriting-Synthesis

2. Create virtual environment

   python -m venv env
   
   # Windows
   env\Scripts\activate
   
   # macOS/Linux
   source env/bin/activate

3. Install dependencies

   pip install -r requirements.txt

4. Install Streamlit (for web UI)

   pip install streamlit

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📖 Usage

Option 1: Web Interface (Recommended)

Launch the interactive web app:

streamlit run app.py

This opens a browser with:

• Text input area
• Style selector (0-9)
• Randomness controls
• Animation toggle
• Color picker
• Download button

Option 2: Command Line

Quick generation from terminal:

from demo import Hand

# Initialize
hand = Hand()

# Generate handwriting
hand.write(
    filename='output.svg',
    lines=['Hello World!', 'This is amazing!'],
    biases=[0.75, 0.75],
    styles=[5, 5],
    stroke_colors=['black', 'blue'],
    stroke_widths=[2, 2]
)

Parameters Explained

Parameter	Type	Description	Example
lines	list[str]	Text to generate	['Hello', 'World']
biases	list[float]	Randomness (0.5-1.5)	[0.75, 0.75]
styles	list[int]	Style IDs (0-9)	[5, 7]
stroke_colors	list[str]	Colors per line	['red', 'blue']
stroke_widths	list[int]	Pen thickness (1-5)	[2, 2]

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🖼️ Sample Outputs

🛠️ Tech Stack

• Python 3.7.9 - Core programming language
• TensorFlow 1.x - Neural network framework
• NumPy - Numerical computations
• Streamlit - Web interface
• Matplotlib - Visualization
• SciPy - Signal processing

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📁 Project Structure

Handwriting-Synthesis/
├── demo.py                    # Core synthesis code
├── drawing.py                 # Utility functions
├── handwriting_app.py         # Streamlit web interface
├── styles/                    # Pre-trained handwriting styles
├── imgs/                      # Sample output images
├── outputs/                   # Generated files
├── requirements.txt           # Python dependencies
└── README.md                  # Documentation

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💡 Tips & Tricks

• Best Style: Try style 5 or 7 for clean, readable handwriting
• Natural Look: Use bias around 0.75 for realistic variation
• Longer Text: Break into multiple short lines for better results
• Animation Speed: Set to 1.5-2.0 for smooth, watchable animation
• Colors: Darker colors (#000000 - #333333) look most realistic

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🐛 Troubleshooting

TensorFlow/NumPy Warnings

If you see deprecation warnings, they're harmless and won't affect functionality. To suppress:

import warnings
warnings.filterwarnings('ignore')

Python Version Issues

Must use Python 3.7.9 for TensorFlow 1.x compatibility. Check your version:

python --version

Missing Dependencies

Install all requirements:

pip install -r requirements.txt --break-system-packages

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

Based on research in handwriting synthesis using recurrent neural networks and mixture density networks.

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